An Efficient Numerical Method for Highly Oscillatory Ordinary Differential Equations - Linda Ruth Petzold (1978)

Special Issue on Iterative Methods in Numerical Linear Algebra. - Thomas A. Manteuffel; Linda R. Petzold (SIAM J. Sci. Comput., 1992)

Stability of Computational Methods for Constrained Dynamics Systems. - Uri M. Ascher; Linda R. Petzold (SIAM J. Sci. Comput., 1993)

Using Krylov Methods in the Solution of Large-Scale Differential-Algebraic Systems. - Peter N. Brown; Alan C. Hindmarsh; Linda R. Petzold (SIAM J. Sci. Comput., 1994)

Parallel solution of large-scale differential-algebraic systems. - Robert S. Maier 002; W. Rath; Linda R. Petzold (Concurr. Pract. Exp., 1995)

Numerical solution of initial-value problems in differential-algebraic equations. - Kathryn E. Brenan; Stephen L. Campbell; Linda R. Petzold (SIAM, 1996)

Regularization of Higher-Index Differential-Algebraic Equations with Rank-Deficient Constraints. - Linda R. Petzold; Yuhe Ren; Timothy Maly (SIAM J. Sci. Comput., 1997)

Computer methods for ordinary differential equations and differential-algebraic equations. - Uri M. Ascher; Linda R. Petzold (SIAM, 1998)

Consistent Initial Condition Calculation for Differential-Algebraic Systems. - Peter N. Brown; Alan C. Hindmarsh; Linda R. Petzold (SIAM J. Sci. Comput., 1998)

Stability of Moving Mesh Systems of Partial Differential Equations. - Shengtai Li; Linda R. Petzold; Yuhe Ren (SIAM J. Sci. Comput., 1998)

An Efficient Newton-Type Iteration for the Numerical Solution of Highly Oscillatory Constrained Multibody Dynamic Systems. - Jeng Yen; Linda R. Petzold (SIAM J. Sci. Comput., 1998)

Parallel sensitivity analysis for DAEs with many parameters. - Wenjie Zhu; Linda R. Petzold (Concurr. Pract. Exp., 1999)

An iterative method for simulation of large scale modular systems using reduced order models. - Muruhan Rathinam; Linda R. Petzold (CDC, 2000)

Constraint Partitioning for Stability in Path-Constrained Dynamic Optimization Problems. - Soumyendu Raha; Linda R. Petzold (SIAM J. Sci. Comput., 2001)

Halo orbit mission correction maneuvers using optimal control. - Radu Serban; Wang Sang Koon; Martin W. Lo; Jerrold E. Marsden; Linda R. Petzold; Shane D. Ross; Roby S. Wilson (Autom., 2002)

Dynamic Iteration Using Reduced Order Models: A Method for Simulation of Large Scale Modular Systems. - Muruhan Rathinam; Linda R. Petzold (SIAM J. Numer. Anal., 2002)

Efficient Computation of Sensitivities for Ordinary Differential Equation Boundary Value Problems. - Radu Serban; Linda R. Petzold (SIAM J. Numer. Anal., 2002)

A multiscale measure for mixing and its applications. - George Mathew; Igor Mezic; Linda R. Petzold (CDC, 2003)

Deriving User Interface Requirements from Densely Interleaved Scientific Computing Applications. - Andrew Strelzoff; Linda R. Petzold (ASE, 2003)

A Subspace Error Estimate for Linear Systems. - Yang Cao 001; Linda R. Petzold (SIAM J. Matrix Anal. Appl., 2003)

A New Look at Proper Orthogonal Decomposition. - Muruhan Rathinam; Linda R. Petzold (SIAM J. Numer. Anal., 2003)

Adjoint Sensitivity Analysis for Differential-Algebraic Equations: The Adjoint DAE System and Its Numerical Solution. - Yang Cao 001; Shengtai Li; Linda R. Petzold; Radu Serban (SIAM J. Sci. Comput., 2003)

Parallel Simulation of Fluid Slip in a Microchannel. - Jingyu Zhou; Luoding Zhu; Linda R. Petzold; Tao Yang 009 (IPDPS, 2004)

A Posteriori Error Estimation and Global Error Control for Ordinary Differential Equations by the Adjoint Method. - Yang Cao 001; Linda R. Petzold (SIAM J. Sci. Comput., 2004)

Consistency and Stability of Tau-Leaping Schemes for Chemical Reaction Systems. - Muruhan Rathinam; Linda R. Petzold; Yang Cao 001; Daniel T. Gillespie (Multiscale Model. Simul., 2005)

Error Estimation for Reduced-Order Models of Dynamical Systems. - Chris Homescu; Linda R. Petzold; Radu Serban (SIAM J. Numer. Anal., 2005)

Sensitivity analysis of differential-algebraic equations and partial differential equations. - Linda R. Petzold; Shengtai Li; Yang Cao 001; Radu Serban (Comput. Chem. Eng., 2006)

Accuracy limitations and the measurement of errors in the stochastic simulation of chemically reacting systems. - Yang Cao 001; Linda R. Petzold (J. Comput. Phys., 2006)

Runge-Kutta-Chebyshev projection method. - Zheming Zheng; Linda R. Petzold (J. Comput. Phys., 2006)

An efficient, scalable numerical algorithm for the simulation of electrochemical systems on irregular domains. - Matthew Buoni; Linda R. Petzold (J. Comput. Phys., 2007)

The Effect of Problem Perturbations on Nonlinear Dynamical Systems and their Reduced-Order Models. - Radu Serban; Chris Homescu; Linda R. Petzold (SIAM J. Sci. Comput., 2007)

A hybrid multiscale kinetic Monte Carlo method for simulation of copper electrodeposition. - Zheming Zheng; Ryan M. Stephens; Richard D. Braatz; Richard C. Alkire; Linda R. Petzold (J. Comput. Phys., 2008)

A stabilized explicit Lagrange multiplier based domain decomposition method for parabolic problems. - Zheming Zheng; Bernd Simeon; Linda R. Petzold (J. Comput. Phys., 2008)

Differential-algebraic equations. - Stephen L. Campbell; Vu Hoang Linh; Linda R. Petzold (Scholarpedia, 2008)

Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network. - Stephanie R. Taylor; Rudiyanto Gunawan; Linda R. Petzold; Francis J. Doyle III (IEEE Trans. Autom. Control., 2008)

Parallel simulation for a fish schooling model on a general-purpose graphics processing unit. - Hong Li; Allison Kolpas; Linda R. Petzold; Jeff Moehlis (Concurr. Comput. Pract. Exp., 2009)

Effect of excluded volume on 2D discrete stochastic chemical kinetics. - Sotiria Lampoudi; Daniel T. Gillespie; Linda R. Petzold (J. Comput. Phys., 2009)

Confidence from uncertainty - A multi-target drug screening method from robust control theory. - Camilla Luni; Jason E. Shoemaker; Kevin R. Sanft; Linda R. Petzold; Francis J. Doyle III (BMC Syst. Biol., 2010)

Efficient Parallelization of the Stochastic Simulation Algorithm for Chemically Reacting Systems On the Graphics Processing Unit. - Hong Li; Linda R. Petzold (Int. J. High Perform. Comput. Appl., 2010)

An algorithm for simulation of electrochemical systems with surface-bulk coupling strategies. - Matthew Buoni; Linda R. Petzold (J. Comput. Phys., 2010)

StochKit2: software for discrete stochastic simulation of biochemical systems with events. - Kevin R. Sanft; Sheng Wu 002; Min K. Roh; Jin Fu 001; Rone Kwei Lim; Linda R. Petzold (Bioinform., 2011)

Undergraduate Computational Science and Engineering Education. - Peter R. Turner; Linda R. Petzold; Angela B. Shiflet; Ignatios Vakalis; Kirk E. Jordan; Samuel St. John (SIAM Rev., 2011)

Abstractions for Scaling eScience Applications to Distributed Computing Environments - A StratUm Integration Case Study in Molecular Systems Biology. - Per-Olov Östberg; Andreas Hellander; Brian Drawert; Erik Elmroth; Sverker Holmgren; Linda R. Petzold (BIOINFORMATICS, 2012)

Reducing Complexity in Management of eScience Computations. - Per-Olov Östberg; Andreas Hellander; Brian Drawert; Erik Elmroth; Sverker Holmgren; Linda R. Petzold (CCGRID, 2012)

Stochastic Simulation Service: Towards an Integrated Development Environment for Modeling and Simulation of Stochastic Biochemical Systems. - Linda R. Petzold; Chandra Krintz (SC Companion, 2012)

Accelerated maximum likelihood parameter estimation for stochastic biochemical systems. - Bernie J. Daigle Jr.; Min K. Roh; Linda R. Petzold; Jarad Niemi (BMC Bioinform., 2012)

Core module biomarker identification with network exploration for breast cancer metastasis. - Ruoting Yang; Bernie J. Daigle Jr.; Linda R. Petzold; Francis J. Doyle III (BMC Bioinform., 2012)

Language and Runtime Support for Automatic Configuration and Deployment of Scientific Computing Software over Cloud Fabrics. - Chris Bunch; Brian Drawert; Navraj Chohan; Chandra Krintz; Linda R. Petzold; Khawaja S. Shams (J. Grid Comput., 2012)

I act, therefore I judge: network sentiment dynamics based on user activity change. - Kathy Macropol; Petko Bogdanov; Ambuj K. Singh; Linda R. Petzold; Xifeng Yan (ASONAM, 2013)

Core modular blood and brain biomarkers in social defeat mouse model for post traumatic stress disorder. - Ruoting Yang; Bernie J. Daigle Jr.; Seid Y. Muhie; Rasha Hammamieh; Marti Jett; Linda R. Petzold; Francis J. Doyle III (BMC Syst. Biol., 2013)

Time dependent solution for acceleration of tau-leaping. - Jin Fu 001; Sheng Wu 002; Linda R. Petzold (J. Comput. Phys., 2013)

Spatial Stochastic Dynamics Enable Robust Cell Polarization. - Michael J. Lawson; Brian Drawert; Mustafa Khammash; Linda R. Petzold; Tau-Mu Yi (PLoS Comput. Biol., 2013)

Automatic and portable cloud deployment for scientific simulations. - Christopher B. Horuk; Geoffrey Douglas; Anand Gupta; Chandra Krintz; Benjamin B. Bales; Giovanni Bellesia; Brian Drawert; Rich Wolski; Linda R. Petzold; Andreas Hellander (HPCS, 2014)

Probabilistic User-Level Opinion Detection on Online Social Networks. - Kasturi Bhattacharjee; Linda R. Petzold (SocInfo, 2014)

An exact and efficient first passage time algorithm for reaction-diffusion processes on a 2D-lattice. - Andri Bezzola; Benjamin B. Bales; Richard C. Alkire; Linda R. Petzold (J. Comput. Phys., 2014)

The time dependent propensity function for acceleration of spatial stochastic simulation of reaction-diffusion systems. - Jin Fu 001; Sheng Wu 002; Hong Li; Linda R. Petzold (J. Comput. Phys., 2014)

Local error estimates for adaptive simulation of the reaction-diffusion master equation via operator splitting. - Andreas Hellander; Michael J. Lawson; Brian Drawert; Linda R. Petzold (J. Comput. Phys., 2014)

BiP Clustering Facilitates Protein Folding in the Endoplasmic Reticulum. - Marc Griesemer; Carissa Young; Anne S. Robinson; Linda R. Petzold (PLoS Comput. Biol., 2014)

Direct higher order fuzzy rule-based classification system: Application in mortality prediction. - Abolfazl Doostparast Torshizi; Linda R. Petzold; Mitchell J. Cohen (BIBM, 2015)

A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome. - Yuanyang Zhang; Bernie J. Daigle Jr.; Mitchell J. Cohen; Linda R. Petzold (ICDM, 2015)

Detecting Opinions in a Temporally Evolving Conversation on Twitter. - Kasturi Bhattacharjee; Linda R. Petzold (SocInfo, 2015)

Inferring single-cell gene expression mechanisms using stochastic simulation. - Bernie J. Daigle Jr.; Mohammad Soltani; Linda R. Petzold; Abhyudai Singh (Bioinform., 2015)

Bitsliced High-Performance AES-ECB on GPUs. - Rone Kwei Lim; Linda R. Petzold; Çetin Kaya Koç (The New Codebreakers, 2016)

What Drives Consumer Choices? Mining Aspects and Opinions on Large Scale Review Data Using Distributed Representation of Words. - Kasturi Bhattacharjee; Linda R. Petzold (ICDM Workshops, 2016)

Multi-View Treelet Transform. - Brian A. Mitchell; Linda R. Petzold (CoRR, 2016)

Research and Education in Computational Science and Engineering. - Ulrich Rüde; Karen Willcox; Lois Curfman McInnes; Hans De Sterck; George Biros; Hans-Joachim Bungartz; James Corones; Evin Cramer; James Crowley; Omar Ghattas; Max D. Gunzburger; Michael Hanke; et al. (CoRR, 2016)

High-performance simulation of fracture in idealized 'brick and mortar' composites using adaptive Monte Carlo minimization on the GPU. - Rone Kwei Lim; J. William Pro; Matthew R. Begley; Marcel Utz; Linda R. Petzold (Int. J. High Perform. Comput. Appl., 2016)

Identification of disease states associated with coagulopathy in trauma. - Yuanyang Zhang; Tie Bo Wu; Bernie J. Daigle Jr.; Mitchell J. Cohen; Linda R. Petzold (BMC Medical Informatics Decis. Mak., 2016)

Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist. - Brian Drawert; Andreas Hellander; Benjamin B. Bales; Debjani Banerjee; Giovanni Bellesia; Bernie J. Daigle Jr.; Geoffrey Douglas; Mengyuan Gu; Anand Gupta; Stefan Hellander; Christopher B. Horuk; Dibyendu Nath; et al. (PLoS Comput. Biol., 2016)

Macromolecular Crowding Regulates the Gene Expression Profile by Limiting Diffusion. - Mahdi Golkaram; Stefan Hellander; Brian Drawert; Linda R. Petzold (PLoS Comput. Biol., 2016)

MOLNs: A Cloud Platform for Interactive, Reproducible, and Scalable Spatial Stochastic Computational Experiments in Systems Biology Using PyURDME. - Brian Drawert; Michael Trogdon; Salman Zubair Toor; Linda R. Petzold; Andreas Hellander (SIAM J. Sci. Comput., 2016)

Survival Topic Models for Predicting Outcomes for Trauma Patients. - Yuanyang Zhang; Richard M. Jiang 002; Linda R. Petzold (ICDE, 2017)

Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach. - Arya A. Pourzanjani; Tie Bo Wu; Richard M. Jiang 002; Mitchell J. Cohen; Linda R. Petzold (MLHC, 2017)

Multivariate soft repulsive system identification for constructing rule-based classification systems: Application to trauma clinical data. - Abolfazl Doostparast Torshizi; Linda R. Petzold; Mitchell J. Cohen (Neurocomputing, 2017)

Identification of Disease States for Trauma Patients using Commonly Available Hospital Data. - Mahnaz Koupaee; Yuanyang Zhang; Tie Bo Wu; Mitchell J. Cohen; Linda R. Petzold (ICCABS, 2018)

Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification. - Abolfazl Doostparast Torshizi; Linda R. Petzold (J. Am. Medical Informatics Assoc., 2018)

Mechanical feedback coordinates cell wall expansion and assembly in yeast mating morphogenesis. - Samhita P. Banavar; Carlos Gomez; Michael Trogdon; Linda R. Petzold; Tau-Mu Yi; Otger Campàs (PLoS Comput. Biol., 2018)

The effect of cell geometry on polarization in budding yeast. - Michael Trogdon; Brian Drawert; Carlos Gomez; Samhita P. Banavar; Tau-Mu Yi; Otger Campàs; Linda R. Petzold (PLoS Comput. Biol., 2018)

Sparse Pathway-Induced Dynamic Network Biomarker Discovery for Early Warning Signal Detection in Complex Diseases. - Abolfazl Doostparast Torshizi; Linda R. Petzold (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. - Yun Zhao 001; Elmer Guzman; Morgane Audouard; Zhuowei Cheng; Paul K. Hansma; Kenneth S. Kosik; Linda R. Petzold (ICDM (Posters), 2019)

A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-reaction problems. - Brian Drawert; Bruno Jacob; Zhen Li 003; Tau-Mu Yi; Linda R. Petzold (J. Comput. Phys., 2019)

A Minimum Free Energy Model of Motor Learning. - Brian A. Mitchell; Nina Lauharatanahirun; Javier O. Garcia; Nicholas F. Wymbs; Scott T. Grafton; Jean M. Vettel; Linda R. Petzold (Neural Comput., 2019)

Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. - Mark S. Alber; Adrian Buganza Tepole; William R. Cannon; Suvranu De; Salvador Dura-Bernal; Krishna C. Garikipati; George E. Karniadakis; William W. Lytton; Paris Perdikaris; Linda R. Petzold; Ellen Kuhl (npj Digit. Medicine, 2019)

How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. - Yun Zhao 001; Franklin Ly; Qinghang Hong; Zhuowei Cheng; Tyler Santander; Henry T. Yang; Paul K. Hansma; Linda R. Petzold (ICDM (Workshops), 2020)

Advances in Deep Space Exploration via Simulators & Deep Learning. - James Bird; Linda R. Petzold; Philip Lubin; Dulia Deacon (CoRR, 2020)

Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. - Yun Zhao 001; Richard M. Jiang 002; Zhenni Xu; Elmer Guzman; Paul K. Hansma; Linda R. Petzold (CoRR, 2020)

Model Optimization for Deep Space Exploration via Simulators and Deep Learning. - James Bird; Kellan Colburn; Linda R. Petzold; Philip Lubin (CoRR, 2020)

Regulation of CSF and Brain Tissue Sodium Levels by the Blood-CSF and Blood-Brain Barriers During Migraine. - Hamed O. Ghaffari; Samuel C. Grant; Linda R. Petzold; Michael G. Harrington (Frontiers Comput. Neurosci., 2020)

Domain Adaptation for Trauma Mortality Prediction in EHRs with Feature Disparity. - Xinlu Zhang; Shiyang Liy; Zhuowei Cheng; Rachael Callcut; Linda R. Petzold (BIBM, 2021)

An Analysis of Relation Extraction within Sentences from Wet Lab Protocols. - Xianjun Yang; Xinlu Zhang; Julia Zuo; Stephen D. Wilson; Linda R. Petzold (IEEE BigData, 2021)

Empirical Quantitative Analysis of COVID-19 Forecasting Models. - Yun Zhao 001; Yuqing Wang; Junfeng Liu; Haotian Xia; Zhenni Xu; Qinghang Hong; Zhiyang Zhou; Linda R. Petzold (ICDM (Workshops), 2021)

Epidemiological modeling in StochSS Live! - Richard M. Jiang 002; Bruno Jacob; Matthew Geiger; Sean Matthew; Bryan Rumsey; Prashant Singh; Fredrik Wrede; Tau-Mu Yi; Brian Drawert; Andreas Hellander; Linda R. Petzold (Bioinform., 2021)

Associations of longitudinal D-Dimer and Factor II on early trauma survival risk. - Richard M. Jiang 002; Arya A. Pourzanjani; Mitchell J. Cohen; Linda R. Petzold (BMC Bioinform., 2021)

Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. - Richard M. Jiang 002; Fredrik Wrede; Prashant Singh; Andreas Hellander; Linda R. Petzold (BMC Bioinform., 2021)

BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients. - Yun Zhao 001; Qinghang Hong; Xinlu Zhang; Yu Deng; Yuqing Wang; Linda R. Petzold (CoRR, 2021)

Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients. - Yuqing Wang; Yun Zhao 001; Rachael Callcut; Linda R. Petzold (CoRR, 2021)

Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks. - Xinlu Zhang; Yun Zhao 001; Rachael Callcut; Linda R. Petzold (CoRR, 2021)

Coordinating cell polarization and morphogenesis through mechanical feedback. - Samhita P. Banavar; Michael Trogdon; Brian Drawert; Tau-Mu Yi; Linda R. Petzold; Otger Campàs (PLoS Comput. Biol., 2021)

Predicting the need for blood transfusion in intensive care units with reinforcement learning. - Yuqing Wang; Yun Zhao 001; Linda R. Petzold (BCB, 2022)

PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text. - Xianjun Yang; Ya Zhuo; Julia Zuo; Xinlu Zhang; Stephen D. Wilson; Linda R. Petzold (EMNLP (Findings), 2022)

VREN: Volleyball Rally Dataset with Expression Notation Language. - Haotian Xia; Rhys Tracy; Yun Zhao 001; Erwan Fraisse; Yuan-Fang Wang; Linda R. Petzold (ICKG, 2022)

Robust and integrative Bayesian neural networks for likelihood-free parameter inference. - Fredrik Wrede; Robin Eriksson; Richard M. Jiang 002; Linda R. Petzold; Stefan Engblom; Andreas Hellander; Prashant Singh (IJCNN, 2022)

BioSimulators: a central registry of simulation engines and services for recommending specific tools. - Bilal Shaikh; Lucian P. Smith; Dan Vasilescu; Gnaneswara Marupilla; Michael Wilson; Eran Agmon; Henry Agnew; Steven S. Andrews; Azraf Anwar; Moritz E. Beber; Frank T. Bergmann; David Brooks 006; et al. (CoRR, 2022)

Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis. - Yuqing Wang; Yun Zhao 001; Rachael Callcut; Linda R. Petzold (CoRR, 2022)

Enhancing Transformer Efficiency for Multivariate Time Series Classification. - Yuqing Wang; Yun Zhao 001; Linda R. Petzold (CoRR, 2022)

Interpretable Polynomial Neural Ordinary Differential Equations. - Colby Fronk; Linda R. Petzold (CoRR, 2022)

BioSimulators: a central registry of simulation engines and services for recommending specific tools. - Bilal Shaikh; Lucian P. Smith; Dan Vasilescu; Gnaneswara Marupilla; Michael Wilson; Eran Agmon; Henry Agnew; Steven S. Andrews; Azraf Anwar; Moritz E. Beber; Frank T. Bergmann; David Brooks 006; et al. (Nucleic Acids Res., 2022)

Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. - Richard M. Jiang 002; Prashant Singh; Fredrik Wrede; Andreas Hellander; Linda R. Petzold (PLoS Comput. Biol., 2022)

Few-Shot Document-Level Event Argument Extraction. - Xianjun Yang; Yujie Lu; Linda R. Petzold (ACL (1), 2023)

OASum: Large-Scale Open Domain Aspect-based Summarization. - Xianjun Yang; Kaiqiang Song; Sangwoo Cho; Xiaoyang Wang; Xiaoman Pan; Linda R. Petzold; Dong Yu 001 (ACL (Findings), 2023)

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling. - Xinlu Zhang; Shiyang Li; Zhiyu Chen 002; Xifeng Yan; Linda Ruth Petzold (ICML, 2023)

Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding. - Yuqing Wang; Yun Zhao 001; Linda R. Petzold (MLHC, 2023)

MatKB: Semantic Search for Polycrystalline Materials Synthesis Procedures. - Xianjun Yang; Stephen D. Wilson; Linda R. Petzold (CoRR, 2023)

Dynamic Prompting: A Unified Framework for Prompt Tuning. - Xianjun Yang; Wei Cheng 002; Xujiang Zhao; Linda R. Petzold; Haifeng Chen (CoRR, 2023)

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. - Xianjun Yang; Wei Cheng 002; Linda R. Petzold; William Yang Wang; Haifeng Chen (CoRR, 2023)

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models. - Xianjun Yang; Xiao Wang 042; Qi Zhang 001; Linda R. Petzold; William Yang Wang; Xun Zhao; Dahua Lin (CoRR, 2023)

Zero-Shot Detection of Machine-Generated Codes. - Xianjun Yang; Kexun Zhang; Haifeng Chen; Linda R. Petzold; William Yang Wang; Wei Cheng 002 (CoRR, 2023)

AlpaCare: Instruction-tuned Large Language Models for Medical Application. - Xinlu Zhang; Chenxin Tian; Xianjun Yang; Lichang Chen; Zekun Li 008; Linda Ruth Petzold (CoRR, 2023)

GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks. - Xinlu Zhang; Yujie Lu; Weizhi Wang; An Yan 003; Jun Yan; Lianke Qin; Heng Wang; Xifeng Yan; William Yang Wang; Linda Ruth Petzold (CoRR, 2023)

A Survey on Detection of LLMs-Generated Content. - Xianjun Yang; Liangming Pan; Xuandong Zhao; Haifeng Chen; Linda R. Petzold; William Yang Wang; Wei Cheng 002 (EMNLP (Findings), 2024)

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. - Xianjun Yang; Wei Cheng 002; Yue Wu; Linda Ruth Petzold; William Yang Wang; Haifeng Chen (ICLR, 2024)

Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting. - Xinlu Zhang; Shiyang Li; Xianjun Yang; Chenxin Tian; Yao Qin 001; Linda Ruth Petzold (ICLR, 2024)

Quokka: An Open-source Large Language Model ChatBot for Material Science. - Xianjun Yang; Stephen D. Wilson; Linda R. Petzold (CoRR, 2024)

MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension. - Zekun Li 008; Xianjun Yang; Kyuri Choi; Wanrong Zhu; Ryan Hsieh; HyeonJung Kim; Jin Hyuk Lim; Sungyoung Ji; Byungju Lee; Xifeng Yan; Linda Ruth Petzold; Stephen D. Wilson; et al. (CoRR, 2024)

Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step Methods. - Colby Fronk; Linda R. Petzold (CoRR, 2024)

Performance Evaluation of Single-step Explicit Exponential Integration Methods on Stiff Ordinary Differential Equations. - Colby Fronk; Linda R. Petzold (CoRR, 2024)

Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods. - Colby Fronk; Linda R. Petzold (CoRR, 2024)

Bayesian polynomial neural networks and polynomial neural ordinary differential equations. - Colby Fronk; Jaewoong Yun; Prashant Singh; Linda R. Petzold (PLoS Comput. Biol., 2024)

An empirical study on the robustness of the segment anything model (SAM). - Yuqing Wang; Yun Zhao 001; Linda R. Petzold (Pattern Recognit., 2024)

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law. - Zhiyu Chen 002; Jing Ma; Xinlu Zhang; Nan Hao; An Yan 003; Armineh Nourbakhsh; Xianjun Yang; Julian J. McAuley; Linda Ruth Petzold; William Yang Wang (Trans. Mach. Learn. Res., 2024)

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. - Xinlu Zhang; Zhiyu Zoey Chen; Xi Ye; Xianjun Yang; Lichang Chen; William Yang Wang; Linda Ruth Petzold (AAAI, 2025)

Position Really Matters: Towards a Holistic Approach for Prompt Tuning. - Xianjun Yang; Wei Cheng 002; Xujiang Zhao; Wenchao Yu; Linda Ruth Petzold; Haifeng Chen (NAACL (Findings), 2025)

Adaptive Finite State Projection with Quantile-Based Pruning for Solving the Chemical Master Equation. - Aditya Dendukuri; Linda R. Petzold (CoRR, 2025)

The Vanishing Gradient Problem for Stiff Neural Differential Equations. - Colby Fronk; Linda R. Petzold (CoRR, 2025)

Many-Turn Jailbreaking. - Xianjun Yang; Liqiang Xiao; Shiyang Li; Faisal Ladhak; Hyokun Yun; Linda Ruth Petzold; Yi Xu; William Yang Wang (CoRR, 2025)